Vibration-Based Propeller Fault Diagnosis for Multicopters

Behnam Ghalamchi, M. Mueller
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引用次数: 23

Abstract

We present a method for detecting faults in a multicopter's motor/propeller by analysis of the vibration spectrum as measured by an onboard accelerometer. Physical damage to a propeller causes additional vibration in the system during operation, and early detection of such faults may prevent further damage and potentially later catastrophic failure. In the proposed method, only a built-in accelerometer (as typically used by a multicopters flight computer) is used to provide vibration data of the vehicle, and no additional sensors are required. We exploit the fact that the motors rotate at different speeds during different phases of maneuvers, allowing a spectral analysis of measured vibrations to isolate a damaged motor. This method is shown to be effective at identifying multiple damaged propellers as well, and experimental results are presented to validate the concept.
基于振动的多旋翼螺旋桨故障诊断
本文提出了一种通过分析机载加速度计测量的振动谱来检测多旋翼机电机/螺旋桨故障的方法。螺旋桨的物理损坏会导致系统在运行过程中产生额外的振动,及早发现这些故障可能会防止进一步的损坏和潜在的灾难性故障。在提出的方法中,仅使用内置加速度计(如多旋翼飞机飞行计算机通常使用的)来提供车辆的振动数据,而不需要额外的传感器。我们利用马达在不同动作阶段以不同速度旋转的事实,允许对测量到的振动进行频谱分析,以隔离损坏的马达。实验结果表明,该方法可以有效地识别多个受损螺旋桨,并对该方法进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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